fix uts

Author: slekkala1

docs/docs/providers/eval/index.mdx

@@ -2,11 +2,15 @@
 description: |
   Evaluations
 
+<<<<<<< HEAD
 <<<<<<< HEAD
       Llama Stack Evaluation API for running evaluations on model and agent candidates.
 =======
     Llama Stack Evaluation API for running evaluations on model and agent candidates."
 >>>>>>> eb10a349 (clean)
+=======
+Llama Stack Evaluation API for running evaluations on model and agent candidates."
+>>>>>>> 94479abf (fix uts)
 sidebar_label: Eval
 title: Eval
 ---
@@ -17,6 +21,6 @@ title: Eval
 
 Evaluations
 
-    Llama Stack Evaluation API for running evaluations on model and agent candidates.
+Llama Stack Evaluation API for running evaluations on model and agent candidates.
 
 This section contains documentation for all available providers for the **eval** API.

src/llama_stack/providers/utils/job_scheduler/README.md

@@ -32,7 +32,7 @@
 │    B. Vector IO (depends on inference, job_scheduler)    │
 │       ├─ deps = {                                        │
 │       │     Api.inference: <impl>,                       │
-│       │     Api.job_scheduler: <scheduler_impl>          │
+│       │     Api.job_scheduler: <scheduler>               │
 │       │   }                                               │
 │       ├─ get_provider_impl(config, deps)                │
 │       │   ├─ adapter = FaissVectorIOAdapter(            │

src/llama_stack/providers/utils/job_scheduler/__init__.py

@@ -7,41 +7,10 @@
 from .api import JobStatus, Scheduler
 from .config import CelerySchedulerConfig, InlineSchedulerConfig, SchedulerConfig
 
-
-async def scheduler_impl(config: SchedulerConfig) -> Scheduler:
-    """
-    Factory function to instantiate scheduler implementations.
-
-    Args:
-        config: Scheduler configuration (InlineSchedulerConfig or CelerySchedulerConfig)
-
-    Returns:
-        Scheduler: An initialized scheduler instance
-
-    Raises:
-        ValueError: If the config type is unknown
-    """
-    impl: Scheduler
-    if isinstance(config, InlineSchedulerConfig):
-        from .inline import InlineSchedulerImpl
-
-        impl = InlineSchedulerImpl(config)
-    elif isinstance(config, CelerySchedulerConfig):
-        from .celery import CelerySchedulerImpl
-
-        impl = CelerySchedulerImpl(config)
-    else:
-        raise ValueError(f"Unknown scheduler config type: {type(config)}")
-
-    await impl.initialize()
-    return impl
-
-
 __all__ = [
     "JobStatus",
     "Scheduler",
     "SchedulerConfig",
     "InlineSchedulerConfig",
     "CelerySchedulerConfig",
-    "scheduler_impl",
 ]

tests/unit/providers/utils/test_job_scheduler.py

@@ -12,10 +12,7 @@
 import pytest
 
 from llama_stack.core.storage.datatypes import KVStoreReference, SqliteKVStoreConfig
-from llama_stack.providers.utils.job_scheduler import (
-    InlineSchedulerConfig,
-    scheduler_impl,
-)
+from llama_stack.providers.utils.job_scheduler import InlineSchedulerConfig
 from llama_stack.providers.utils.kvstore import register_kvstore_backends
 
 
@@ -45,7 +42,9 @@ def scheduler_config():
 
 async def test_scheduler_api_exists(scheduler_config):
     """Test that scheduler API is properly defined."""
-    scheduler = await scheduler_impl(scheduler_config)
+    from llama_stack.providers.utils.job_scheduler.inline import InlineSchedulerImpl
+
+    scheduler = InlineSchedulerImpl(scheduler_config)
 
     # Verify all required methods exist
     assert hasattr(scheduler, "initialize")
@@ -61,7 +60,9 @@ async def test_scheduler_api_exists(scheduler_config):
 
 async def test_scheduler_not_implemented(scheduler_config):
     """Test that scheduler methods raise NotImplementedError."""
-    scheduler = await scheduler_impl(scheduler_config)
+    from llama_stack.providers.utils.job_scheduler.inline import InlineSchedulerImpl
+
+    scheduler = InlineSchedulerImpl(scheduler_config)
 
     # Test that all methods raise NotImplementedError
     with pytest.raises(NotImplementedError, match="not yet available"):
@@ -94,7 +95,9 @@ async def test_scheduler_not_implemented(scheduler_config):
 
 async def test_two_phase_initialization_pattern(scheduler_config):
     """Test that the two-phase initialization pattern is supported."""
-    scheduler = await scheduler_impl(scheduler_config)
+    from llama_stack.providers.utils.job_scheduler.inline import InlineSchedulerImpl
+
+    scheduler = InlineSchedulerImpl(scheduler_config)
 
     # Mock the methods to test the pattern
     scheduler.initialize = AsyncMock()